108 related articles for article (PubMed ID: 25803086)
1. Double bias: estimation of causal effects from length-biased samples in the presence of confounding.
Ertefaie A; Asgharian M; Stephens DA
Int J Biostat; 2015 May; 11(1):69-89. PubMed ID: 25803086
[TBL] [Abstract][Full Text] [Related]
2. Combined estimating equation approaches for semiparametric transformation models with length-biased survival data.
Cheng YJ; Huang CY
Biometrics; 2014 Sep; 70(3):608-18. PubMed ID: 24750126
[TBL] [Abstract][Full Text] [Related]
3. Analysis of restricted mean survival time for length-biased data.
Lee CH; Ning J; Shen Y
Biometrics; 2018 Jun; 74(2):575-583. PubMed ID: 28886217
[TBL] [Abstract][Full Text] [Related]
4. Conditioning on the propensity score can result in biased estimation of common measures of treatment effect: a Monte Carlo study.
Austin PC; Grootendorst P; Normand SL; Anderson GM
Stat Med; 2007 Feb; 26(4):754-68. PubMed ID: 16783757
[TBL] [Abstract][Full Text] [Related]
5. Accelerated failure time model under general biased sampling scheme.
Kim JP; Sit T; Ying Z
Biostatistics; 2016 Jul; 17(3):576-88. PubMed ID: 26941240
[TBL] [Abstract][Full Text] [Related]
6. Semiparametric Accelerated Failure Time Model for Length-biased Data with Application to Dementia Study.
Ning J; Qin J; Shen Y
Stat Sin; 2014 Jan; 24(1):313-333. PubMed ID: 24478570
[TBL] [Abstract][Full Text] [Related]
7. Buckley-James-type estimator with right-censored and length-biased data.
Ning J; Qin J; Shen Y
Biometrics; 2011 Dec; 67(4):1369-78. PubMed ID: 21385160
[TBL] [Abstract][Full Text] [Related]
8. Nonparametric and semiparametric estimators of restricted mean survival time under length-biased sampling.
He Y; Zhou Y
Lifetime Data Anal; 2020 Oct; 26(4):761-788. PubMed ID: 32300909
[TBL] [Abstract][Full Text] [Related]
9. Estimating effects of nursing intervention via propensity score analysis.
Qin R; Titler MG; Shever LL; Kim T
Nurs Res; 2008; 57(6):444-52. PubMed ID: 19018219
[TBL] [Abstract][Full Text] [Related]
10. Propensity Score Estimation in the Presence of Length-biased Sampling: A Nonparametric Adjustment Approach.
Ertefaie A; Asgharian M; Stephens D
Stat; 2014 Jan; 3(1):83-94. PubMed ID: 25170178
[TBL] [Abstract][Full Text] [Related]
11. Information in the sample covariate distribution in prevalent cohorts.
Cook RJ; Bergeron PJ
Stat Med; 2011 May; 30(12):1397-409. PubMed ID: 21259303
[TBL] [Abstract][Full Text] [Related]
12. On the propensity score weighting analysis with survival outcome: Estimands, estimation, and inference.
Mao H; Li L; Yang W; Shen Y
Stat Med; 2018 Nov; 37(26):3745-3763. PubMed ID: 29855060
[TBL] [Abstract][Full Text] [Related]
13. Propensity score applied to survival data analysis through proportional hazards models: a Monte Carlo study.
Gayat E; Resche-Rigon M; Mary JY; Porcher R
Pharm Stat; 2012; 11(3):222-9. PubMed ID: 22411785
[TBL] [Abstract][Full Text] [Related]
14. Covariate-adjusted survival analyses in propensity-score matched samples: Imputing potential time-to-event outcomes.
Austin PC; Thomas N; Rubin DB
Stat Methods Med Res; 2020 Mar; 29(3):728-751. PubMed ID: 30569832
[TBL] [Abstract][Full Text] [Related]
15. Using Sensitivity Analyses for Unobserved Confounding to Address Covariate Measurement Error in Propensity Score Methods.
Rudolph KE; Stuart EA
Am J Epidemiol; 2018 Mar; 187(3):604-613. PubMed ID: 28992211
[TBL] [Abstract][Full Text] [Related]
16. [Time-dependent confounding in the estimation of treatment effects in randomised trials with multimodal therapies--an illustration of the problem of time-dependent confounding by causal graphs].
Zietemann VD; Schuster T; Duell TH
Gesundheitswesen; 2015 Jan; 77(1):62-6. PubMed ID: 24203687
[TBL] [Abstract][Full Text] [Related]
17. Part 1. Statistical Learning Methods for the Effects of Multiple Air Pollution Constituents.
Coull BA; Bobb JF; Wellenius GA; Kioumourtzoglou MA; Mittleman MA; Koutrakis P; Godleski JJ
Res Rep Health Eff Inst; 2015 Jun; (183 Pt 1-2):5-50. PubMed ID: 26333238
[TBL] [Abstract][Full Text] [Related]
18. Propensity Score Methods for Analyzing Observational Data Like Randomized Experiments: Challenges and Solutions for Rare Outcomes and Exposures.
Ross ME; Kreider AR; Huang YS; Matone M; Rubin DM; Localio AR
Am J Epidemiol; 2015 Jun; 181(12):989-95. PubMed ID: 25995287
[TBL] [Abstract][Full Text] [Related]
19. Causal effects in clinical and epidemiological studies via potential outcomes: concepts and analytical approaches.
Little RJ; Rubin DB
Annu Rev Public Health; 2000; 21():121-45. PubMed ID: 10884949
[TBL] [Abstract][Full Text] [Related]
20. Causal estimation using semiparametric transformation models under prevalent sampling.
Cheng YJ; Wang MC
Biometrics; 2015 Jun; 71(2):302-12. PubMed ID: 25715045
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]